Evidence map›Paper›PMID 39166260›Full record

ArticleACS earth & space chemistry2024

Role of Source, Mineralogy, and Organic Complexation on Lability and Fe Isotopic Composition of Terrestrial Fe sources to the Gulf of Alaska.

Linqing Huang, Sarah M Aarons, Bess G Koffman, Wenhan Cheng, Lena Hanschka, Lee Ann Munk, Jordan Jenckes, Emmet Norris, Carli A Arendt

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS earth & space chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Linqing HuangScripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, United States.ORCID https://orcid.org/0000-0002-7559-4881
Sarah M AaronsScripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, United States.ORCID https://orcid.org/0000-0002-3580-0820
Bess G KoffmanDepartment of Geology, Colby College, Waterville, Maine 04901, United States.ORCID https://orcid.org/0000-0002-9451-4138
Wenhan ChengCollege of Resources and Environment, Anhui Agricultural University, Hefei, Anhui 230036, China.ORCID https://orcid.org/0000-0002-2832-2584
Lena HanschkaDepartment of Geology, Colby College, Waterville, Maine 04901, United States.
Lee Ann MunkDepartment of Geological Sciences, University of Alaska Anchorage, Anchorage, Alaska 99508, United States.
Jordan JenckesDepartment of Chemistry, University of Alaska Anchorage, Anchorage, Alaska 99508, United States.
Emmet NorrisScripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, United States.
Carli A ArendtDepartment of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, North Carolina 27695, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iron (Fe) is a key trace nutrient supporting marine primary production, and its deposition in the surface ocean can impact multiple biogeochemical cycles. Understanding Fe cycling in the subarctic is key for tracking the fate of particulate-bound sources of oceans in a changing climate. Recently, Fe isotope ratios have been proposed as a potential tool to trace sources of Fe to the marine environment. Here, we investigate the Fe isotopic composition of terrestrial sources of Fe including glacial sediment, loess, volcanic ash, and wildfire aerosols, all from Alaska. Results show that the δ

Identifiers

PMID39166260
PMCPMC11331515

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.